qdgc Brazil
QDGC tables delivered in geopackage file - - - - - - - - - - - - - - - - - - - - - - QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around...
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ftsmithonian:oai:figshare.com:article/13636246 2023-05-15T18:23:19+02:00 qdgc Brazil Ragnvald Larsen (10009121) 2021-01-24T00:00:00Z https://doi.org/10.5281/zenodo.4460090 unknown https://figshare.com/articles/dataset/qdgc_Brazil/13636246 doi:10.5281/zenodo.4460090 CC BY 4.0 CC-BY Microbiology Cell Biology Biotechnology Evolutionary Biology Ecology Developmental Biology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Brazil South America geopackage qdgc Dataset 2021 ftsmithonian https://doi.org/10.5281/zenodo.4460090 2021-02-03T09:08:05Z QDGC tables delivered in geopackage file - - - - - - - - - - - - - - - - - - - - - - QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth. Within each geopackage file you will find a number of tables with these names: -tbl_qdgc_01 -tbl_qdgc_02 -tbl_qdgc_03 -tbl_qdgc_04 -tbl_qdgc_05 -etc The attributes for each table are: qdgc Unique Quarter Degree Grid Cell reference string area_reference Country level_qdgc QDGC level cellsize degrees decimal degree for the longitudal and latitudal length of the cell lon_center Longitude center of the cell lat_center Latitudal center of the cell area_km2 Calculated area for the cell geom Geometry Metadata --- Geodata GCS_WGS_1984 Datum: D_WGS_1984 Prime Meridian: 0 Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this: - st_area(st_transform(geom, 102022))/1000000) Licensing --- Creative Commons Attribution 4.0 International Conditions --- Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc Thankyou --- The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them: - Tanzania Wildlife Research Institute - Dept of Biology, NTNU, Norway - Norwegian Environment Agency - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey References --- * http://en.wikipedia.org/wiki/QDGC * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/ * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection * http://www.safe.com Ragnvald Larsen Trondheim 23rd of January, 2021 ragnvald@mindland.com www.mindland.com Dataset South pole Unknown Norway South Pole |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Microbiology Cell Biology Biotechnology Evolutionary Biology Ecology Developmental Biology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Brazil South America geopackage qdgc |
spellingShingle |
Microbiology Cell Biology Biotechnology Evolutionary Biology Ecology Developmental Biology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Brazil South America geopackage qdgc Ragnvald Larsen (10009121) qdgc Brazil |
topic_facet |
Microbiology Cell Biology Biotechnology Evolutionary Biology Ecology Developmental Biology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Brazil South America geopackage qdgc |
description |
QDGC tables delivered in geopackage file - - - - - - - - - - - - - - - - - - - - - - QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth. Within each geopackage file you will find a number of tables with these names: -tbl_qdgc_01 -tbl_qdgc_02 -tbl_qdgc_03 -tbl_qdgc_04 -tbl_qdgc_05 -etc The attributes for each table are: qdgc Unique Quarter Degree Grid Cell reference string area_reference Country level_qdgc QDGC level cellsize degrees decimal degree for the longitudal and latitudal length of the cell lon_center Longitude center of the cell lat_center Latitudal center of the cell area_km2 Calculated area for the cell geom Geometry Metadata --- Geodata GCS_WGS_1984 Datum: D_WGS_1984 Prime Meridian: 0 Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this: - st_area(st_transform(geom, 102022))/1000000) Licensing --- Creative Commons Attribution 4.0 International Conditions --- Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc Thankyou --- The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them: - Tanzania Wildlife Research Institute - Dept of Biology, NTNU, Norway - Norwegian Environment Agency - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey References --- * http://en.wikipedia.org/wiki/QDGC * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/ * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection * http://www.safe.com Ragnvald Larsen Trondheim 23rd of January, 2021 ragnvald@mindland.com www.mindland.com |
format |
Dataset |
author |
Ragnvald Larsen (10009121) |
author_facet |
Ragnvald Larsen (10009121) |
author_sort |
Ragnvald Larsen (10009121) |
title |
qdgc Brazil |
title_short |
qdgc Brazil |
title_full |
qdgc Brazil |
title_fullStr |
qdgc Brazil |
title_full_unstemmed |
qdgc Brazil |
title_sort |
qdgc brazil |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.4460090 |
geographic |
Norway South Pole |
geographic_facet |
Norway South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
https://figshare.com/articles/dataset/qdgc_Brazil/13636246 doi:10.5281/zenodo.4460090 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4460090 |
_version_ |
1766202870871359488 |